| 2024 | AAAI | MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. | Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu |
| 2024 | NAACL | Create! Don't Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation. | Letian Wang, Xianggen Liu, Jiancheng Lv |
| 2023 | EMNLP | Vector-Quantized Prompt Learning for Paraphrase Generation. | Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu |
| 2022 | IJCAI | Abstract Rule Learning for Paraphrase Generation. | Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou |
| 2021 | IJCAI | Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. | Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie |
| 2020 | ACL | Unsupervised Paraphrasing by Simulated Annealing. | Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song |
| 2020 | ICML | A Chance-Constrained Generative Framework for Sequence Optimization. | Xianggen Liu, Qiang Liu, Sen Song, Jian Peng |
| 2019 | WACV | AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks. | Yihui He, Xianggen Liu, Huasong Zhong, Yuchun Ma |
| 2018 | ACL | Object-oriented Neural Programming (OONP) for Document Understanding. | Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng |
| 2018 | IJCAI | Jumper: Learning When to Make Classification Decision in Reading. | Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song |
| 2014 | ECAI | Semantical Information Graph Model toward Fast Information Valuation in Large Teamwork. | Yulin Zhang, Yang Xu, Haixiao Hu, Xianggen Liu |